Triple
T7942245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AECOM |
E184417
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ACM
ACM is the stock ticker symbol for AECOM, a global infrastructure consulting and engineering firm.
|
E697281
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ACM | Statement: [AECOM, tickerSymbol, ACM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Context triple: [AECOM, tickerSymbol, ACM]
-
A.
ACM
ACM is an abbreviation commonly used to refer to Alarm Communication Management, a system or framework for handling and coordinating alarm-related communications.
-
B.
ACM
ACM is a senior four-star air officer rank used in several air forces, typically held by the professional head of the service.
-
C.
ACM
ACM is a leading international scientific and educational computing society known for publishing research journals, organizing conferences, and advancing the field of computer science.
-
D.
ACM
ACM is the commonly used abbreviation for the Appellate Court of Maryland, an intermediate appellate court in the Maryland state judiciary.
-
E.
ACM TAP
ACM TAP is a peer-reviewed scientific journal published by the Association for Computing Machinery that focuses on research in applied perception, including human-computer interaction, computer graphics, and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ACM Triple: [AECOM, tickerSymbol, ACM]
Generated description
ACM is the stock ticker symbol for AECOM, a global infrastructure consulting and engineering firm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM Target entity description: ACM is the stock ticker symbol for AECOM, a global infrastructure consulting and engineering firm.
-
A.
ACM
ACM is the commonly used abbreviation for the Appellate Court of Maryland, an intermediate appellate court in the Maryland state judiciary.
-
B.
ACM
ACM is an abbreviation commonly used to refer to Alarm Communication Management, a system or framework for handling and coordinating alarm-related communications.
-
C.
ACM
ACM is a senior four-star air officer rank used in several air forces, typically held by the professional head of the service.
-
D.
ACM
ACM is a leading international scientific and educational computing society known for publishing research journals, organizing conferences, and advancing the field of computer science.
-
E.
ACM TAP
ACM TAP is a peer-reviewed scientific journal published by the Association for Computing Machinery that focuses on research in applied perception, including human-computer interaction, computer graphics, and related fields.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f23d11c8190a29f28337f1db419 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:09 p.m.