Triple
T11833518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slough railway station |
E281456
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SLO
SLO is the National Rail station code for Slough railway station in Berkshire, England.
|
E950208
|
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: SLO | Statement: [Slough railway station, hasStationCode, SLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLO Context triple: [Slough railway station, hasStationCode, SLO]
-
A.
SLO
SLO is the three-letter International Olympic Committee country code representing Slovenia in Olympic competitions.
-
B.
SLO
SLO is a common abbreviation for San Luis Obispo, a small coastal city in California known for its historic mission, vibrant downtown, and proximity to beaches and wine country.
-
C.
Slocene
Slocene is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
D.
San Jo
San Jo is an informal nickname commonly used to refer to the city of San Jose, California.
-
E.
Ojai
Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
- 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: SLO Triple: [Slough railway station, hasStationCode, SLO]
Generated description
SLO is the National Rail station code for Slough railway station in Berkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLO Target entity description: SLO is the National Rail station code for Slough railway station in Berkshire, England.
-
A.
SLO
SLO is the three-letter International Olympic Committee country code representing Slovenia in Olympic competitions.
-
B.
SLO
SLO is a common abbreviation for San Luis Obispo, a small coastal city in California known for its historic mission, vibrant downtown, and proximity to beaches and wine country.
-
C.
Slocene
Slocene is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
D.
San Jo
San Jo is an informal nickname commonly used to refer to the city of San Jose, California.
-
E.
Ojai
Ojai is a small, scenic city in Southern California known for its arts community, boutique tourism, and surrounding mountains and orange groves.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62e7e408190998bebe346c82e89 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16753f4f88190940e53312aff4333 |
completed | April 29, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69f17004fb908190a486c6718c5252cb |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1db11f0f48190832ca4f552f21751 |
completed | April 29, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.