Triple
T14542669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China State Shipbuilding Corporation |
E341208
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
CSSC
CSSC is a major Chinese state-owned shipbuilding conglomerate responsible for designing and constructing a wide range of commercial and military vessels.
|
E1105505
|
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: CSSC | Statement: [China State Shipbuilding Corporation, alsoKnownAs, CSSC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSSC Context triple: [China State Shipbuilding Corporation, alsoKnownAs, CSSC]
-
A.
C.S.C.
C.S.C. is the post-nominal abbreviation used by members of the Congregation of Holy Cross, a Roman Catholic religious congregation of priests and brothers.
-
B.
USCSS
USCSS is a fictional starship registry prefix used in the Alien franchise to designate commercial spacecraft.
-
C.
SCSE
SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
-
D.
USSC
USSC is an independent federal agency that develops sentencing guidelines and policies for the U.S. federal courts.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing 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: CSSC Triple: [China State Shipbuilding Corporation, alsoKnownAs, CSSC]
Generated description
CSSC is a major Chinese state-owned shipbuilding conglomerate responsible for designing and constructing a wide range of commercial and military vessels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CSSC Target entity description: CSSC is a major Chinese state-owned shipbuilding conglomerate responsible for designing and constructing a wide range of commercial and military vessels.
-
A.
C.S.C.
C.S.C. is the post-nominal abbreviation used by members of the Congregation of Holy Cross, a Roman Catholic religious congregation of priests and brothers.
-
B.
USCSS
USCSS is a fictional starship registry prefix used in the Alien franchise to designate commercial spacecraft.
-
C.
SCSE
SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
-
D.
USSC
USSC is an independent federal agency that develops sentencing guidelines and policies for the U.S. federal courts.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5eb85c8190a0c1696b63ddf8e1 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7d7245808190b30d591407731bd5 |
completed | May 8, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7dfc22008190a2c37bed8fd8d21a |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 10, 2026, 1:22 a.m.