Triple
T3449812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chas |
E72765
|
entity |
| Predicate | lastLetter |
P48890
|
FINISHED |
| Object | s |
—
|
LITERAL FINISHED |
How this triple was built (2 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: s | Statement: [Chas, lastLetter, s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastLetter Context triple: [Chas, lastLetter, s]
-
A.
lastStanzaLetter
Indicates that a given letter is the final letter of the last stanza in a text or poem.
-
B.
lastWords
Indicates the final words spoken or written by an entity (typically a person) before their death or the end of a significant event.
-
C.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
D.
followsLetter
Indicates that one element in a sequence comes immediately after another element in alphabetical or ordered letter arrangement.
-
E.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
- F. None of above. chosen
Provenance (4 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7324508190b07943cec3ecdb59 |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:16 p.m.